随着人工智能和增强现实技术在社会中的地位稳步上升,这些领域的核心关键技术在逐步实现突破,对于三维环境的动态实时的理解是当前增强现实技术研究方面最活跃的问题之一。为实现多人同时应用视觉同时定位与地图构建(simultaneous local...随着人工智能和增强现实技术在社会中的地位稳步上升,这些领域的核心关键技术在逐步实现突破,对于三维环境的动态实时的理解是当前增强现实技术研究方面最活跃的问题之一。为实现多人同时应用视觉同时定位与地图构建(simultaneous localization and mapping,SLAM)系统,将图优化框架的SLAM与多智能体进行结合研究,提出基于多智能体的SLAM构建方法。首先简要介绍了视觉SLAM框架,系统地分析了在构建三维场景时,利用相机将信息进行整合和预处理,并估算相邻图像之间的运动以及检测信息来构建整体的框架。从视觉中提炼出最优化的3D模型以及各种参数来达到三维重建,通过相机的运动过程来确定视觉的深度特性以及加强沉浸式的观感体验,最终根据其本身的可视化追踪和环境理解,将非线性优化方案结合多智能体进行SLAM构建,实现移动平台真实浏览虚拟样板间的可视化与交互。展开更多
Traffic congestion problem is one of the major problems that face many transportation decision makers for urban areas. The problem has many impacts on social, economical and development aspects of urban areas. Hence t...Traffic congestion problem is one of the major problems that face many transportation decision makers for urban areas. The problem has many impacts on social, economical and development aspects of urban areas. Hence the solution to this problem is not straight forward. It requires a lot of effort, expertise, time and cost that sometime are not available. Most of the existing transportation planning software, specially the most advanced ones, requires personnel with lots practical transportation planning experience and with high level of education and training. In this paper we propose a comprehensive framework for an Intelligent Decision Support System (IDSS) for Traffic Congestion Management System that utilizes a state of the art transportation network equilibrium modeling and providing an easy to use GIS-based interaction environment. The developed IDSS reduces the dependability on the expertise and level of education of the transportation planners, transportation engineers, or any transportation decision makers.展开更多
文摘随着人工智能和增强现实技术在社会中的地位稳步上升,这些领域的核心关键技术在逐步实现突破,对于三维环境的动态实时的理解是当前增强现实技术研究方面最活跃的问题之一。为实现多人同时应用视觉同时定位与地图构建(simultaneous localization and mapping,SLAM)系统,将图优化框架的SLAM与多智能体进行结合研究,提出基于多智能体的SLAM构建方法。首先简要介绍了视觉SLAM框架,系统地分析了在构建三维场景时,利用相机将信息进行整合和预处理,并估算相邻图像之间的运动以及检测信息来构建整体的框架。从视觉中提炼出最优化的3D模型以及各种参数来达到三维重建,通过相机的运动过程来确定视觉的深度特性以及加强沉浸式的观感体验,最终根据其本身的可视化追踪和环境理解,将非线性优化方案结合多智能体进行SLAM构建,实现移动平台真实浏览虚拟样板间的可视化与交互。
文摘Traffic congestion problem is one of the major problems that face many transportation decision makers for urban areas. The problem has many impacts on social, economical and development aspects of urban areas. Hence the solution to this problem is not straight forward. It requires a lot of effort, expertise, time and cost that sometime are not available. Most of the existing transportation planning software, specially the most advanced ones, requires personnel with lots practical transportation planning experience and with high level of education and training. In this paper we propose a comprehensive framework for an Intelligent Decision Support System (IDSS) for Traffic Congestion Management System that utilizes a state of the art transportation network equilibrium modeling and providing an easy to use GIS-based interaction environment. The developed IDSS reduces the dependability on the expertise and level of education of the transportation planners, transportation engineers, or any transportation decision makers.
